Authors: Martinez-Ortiz, Carlos
Žunić, Dragiša
Žunić, Joviša 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Measuring shape rectangularities
First page: 369
Last page: 374
Conference: 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Issue Date: 2011
Rank: M33
ISBN: 9781467307529
DOI: 10.1109/ISSPIT.2011.6151590
Abstract: 
This paper introduces a family of rectangularity measures. Several rectangularity measures already exist in literature, and all of them evaluate how much the shape considered differs from a perfect rectangle. But all existing measures assume that all rectangles have the same shape, and a consequence is that these measures do not distinguish among the rectangles whose edge-ration differs. In this paper we consider that differently elongated rectangles have different shape and propose a family of new rectangularity measures which distinguish among such rectangles. New rectangularity measures are invariant with respect to translation, rotation and scaling transformations. In addition, we introduce a tuning parameter which enables an additional flexibility of the new measures with respect to performing applications.
Keywords: image processing | image retrieval | measuring shape | rectangularity | Shape
Publisher: IEEE

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